ArticleHeliyon2024
Dynamic strategy for low-carbon supply chain considering retailers competition and technological innovation.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
This paper discusses how managers adjust their strategies to allocate relevant resources more effectively and maximize economic benefits when major technological changes are predicted for the future. For a supply chain system consisting of a single manufacturer and two competing retailers as the research object. First, random stop model is applied to portray the impact of technological innovation on the decision-making of supply chain members. On this basis, differential game models for supply chain members are constructed based on different cooperation modes, including centralized, decentralized, and retailers alliance. Second, we solve and compare the optimal decision-making, emissions reduction, low-carbon goodwill, and profit levels before and after technological innovation in different modes. Finally, we design a bilateral cost-sharing contract to achieve coordination. Results demonstrate that: (1) Before the success of technological innovation, when a higher probability of success and uplift rate is predicted can incentivize supply chain members' emissions reduction and low-carbon promotion inputs; (2) In the presuccess period of technological innovation, members' independent decision-making (decentralized decision-making) can optimize the retailer's low-carbon promotional inputs under certain conditions. In contrast, the optimality of decentralized decision-making after technological innovation depends only on the influence of competition intensity. (3) The bilateral cost-sharing contract designed in this paper can optimize supply chain-related inputs and performance levels to achieve perfect coordination within the supply chain system, given that specific preconditions are satisfied.
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Registered trials
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